A method and system for monitoring the performance of a vehicle and its battery box.

Abstract

This invention belongs to the field of new energy vehicle technology, specifically relating to a method and system for monitoring the performance of a vehicle and its battery pack. The method acquires impact information data of the vehicle's battery pack in real time during the vehicle's loading operation. Based on the impact information data during this loading operation and the vehicle's operational information, it calculates the number of times the impact information data within the vehicle's service life is not lower than a set value. This number is then compared to the maximum allowed number of times the impact information data within the vehicle's service life is not lower than the set value. If the maximum number is lower, the battery pack performance monitoring result indicates a risk of structural failure. The data in this invention is acquired in real time, thus ensuring its timeliness. Furthermore, the data calculated based on the vehicle's real-time data within its service life accurately reflects the vehicle's state during the loading operation. Therefore, using this state as the basis for performance monitoring accurately reflects the monitoring results during the loading operation.

Description

Technical Field

[0001] This invention belongs to the field of new energy vehicle technology, specifically relating to a method and system for monitoring the performance of a vehicle and its battery box. Background Technology

[0002] Currently, pure electric mining trucks operating in mining areas are likely to be subjected to significant loading impacts during loading operations. It is generally believed that when the impact load is large (i.e., impact acceleration ≥ 10g, where g is the acceleration due to gravity), the impact on the battery structure cannot be ignored, and the same methods used for handling vibration loads during vehicle operation cannot be applied. The assessment of the impact load on the battery box structure reliability is generally based on the vibration acceleration time-domain data collected during the operation in the early stages. The number of impact loads the battery is subjected to throughout its entire service life is calculated based on the operational information of the mining area. The structural reliability is then assessed by comparing this data with the boundary of the battery box structure.

[0003] However, as the mining platform changes within the mining area, the size and height of the ore during the loading process will change, which in turn changes the number of impact loads on the battery box. Although the impact load data collected in the early stage has some reference value, it cannot provide real-time feedback on the structural status of the battery box, and it is impossible to take effective measures for the battery box and battery frame in advance. This leads to the battery box being used beyond its boundaries for a long time, making it difficult to guarantee the structural quality. This approach is passive, has poor timeliness, and has high maintenance costs. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for monitoring the performance of a vehicle and its battery pack, in order to solve the problem that existing methods for monitoring the performance of vehicle battery packs cannot provide real-time feedback on the structural status of the battery pack, resulting in inaccurate performance monitoring results.

[0005] To address the aforementioned technical problems, this invention provides a method for monitoring the performance of a vehicle battery pack, comprising the following steps:

[0006] 1) During vehicle loading operations, acquire real-time impact information data of the vehicle's battery box;

[0007] 2) Based on the impact information data during the vehicle's loading operation and the vehicle's operating information, calculate the number of times the impact information data is not lower than the set value within the vehicle's service life, and compare this number with the maximum number of times the impact information data is allowed to be not lower than the set value within the vehicle's service life.

[0008] 3) If the number of times the impact information data exceeds the set value during the vehicle's service life is greater than the maximum number, the battery pack performance monitoring result indicates that there is a risk of structural failure.

[0009] Its beneficial effects are as follows: The data of the present invention is acquired in real time, so the data is timely. Furthermore, the present invention calculates the data within the service life based on the real-time data of the vehicle during this loading operation. Therefore, the data within the service life can accurately reflect the state of the vehicle during this loading operation. Thus, this accurate reflection of the state of the vehicle during this loading operation is used as the basis for performance monitoring, and the performance monitoring result accurately reflects the monitoring result of the vehicle during this loading operation.

[0010] Furthermore, in step 2), the maximum value in the impact information data is obtained based on the impact information data during the vehicle's loading operation. In step 3), if the maximum value is greater than the maximum allowable impact value of the vehicle's battery box, the battery box performance monitoring result indicates that there is a risk of structural failure.

[0011] This invention not only uses the number of times as one aspect of performance monitoring, but also uses specific values ​​as the basis for performance monitoring. That is, through multi-faceted monitoring, the monitoring process is made more complete, and the monitoring results are more accurate.

[0012] Furthermore, in step 2), the usage period is the earlier of the vehicle's warranty period and warranty mileage.

[0013] The warranty mileage and warranty period of a vehicle usually reflect the optimal period during which the vehicle can be used. Therefore, this invention uses the smaller of the two as the service period, thus ensuring that the service period is the optimal period for the vehicle. Then, the data within this optimal period is calculated using the data from the vehicle's current operation. That is, if the data within the optimal period reflects the risk of structural failure of the battery pack structure, it can be determined that the vehicle's battery pack was used beyond its boundary during this loading operation.

[0014] Furthermore, the method for determining which period of warranty period or warranty mileage is reached first is as follows: the usage period within the warranty mileage is obtained based on the vehicle's warranty mileage and the vehicle's actual daily mileage. If the usage period is less than the warranty period, the warranty mileage is reached first; if the usage period is greater than the warranty period, the warranty period is reached first.

[0015] Furthermore, the method for determining which of the vehicle's warranty period and warranty mileage is reached first is as follows: the vehicle's usage mileage within the warranty period is obtained based on the vehicle's warranty period and the vehicle's actual daily mileage. If the usage mileage is less than the warranty mileage, the warranty period is reached first; if the usage mileage is greater than the warranty mileage, the warranty mileage is reached first.

[0016] This invention uses the vehicle's actual operating data to determine whether the vehicle reaches its warranty period or warranty mileage first. In other words, this invention analyzes the specific situation of the vehicle and obtains an accurate result corresponding to that vehicle.

[0017] Furthermore, if the warranty period is reached first, the formula for calculating ST(W)—the number of times the impact information data during the vehicle's service life is not lower than a set value—is as follows:

[0018] ST(W) = Yz × D × N(W), where Yz is the warranty period, D is the number of days the vehicle operates in a year, and N(W) is the number of times the impact information data of the vehicle is not lower than the set value during this loading operation;

[0019] If the warranty mileage is reached first, the formula for calculating the number of times the impact information data is not lower than the set value during the vehicle's service life is: ST(W)=Sz÷M×N(W), where Sz is the warranty period, M is the total daily mileage of the vehicle, and N(W) is the number of times the impact information data is not lower than the set value during the current loading operation of the vehicle.

[0020] Furthermore, in step 3), if the battery box performance monitoring results indicate a risk of structural failure, an early warning signal is issued.

[0021] This invention improves the structural reliability of the battery box and extends its service life by issuing a warning signal when the battery box is at risk of structural failure.

[0022] To address the aforementioned technical problems, the present invention also provides a vehicle battery box performance monitoring system, including an acceleration sensor for monitoring impact signals received by the battery box and a control device. The control device includes a memory and a processor, the processor being used to execute instructions to implement the aforementioned vehicle battery box performance monitoring method, and to achieve the same beneficial effects as the method.

[0023] To solve the above-mentioned technical problems, the present invention also provides a vehicle, which further includes the above-mentioned vehicle battery box performance monitoring system and achieves the same beneficial effects as the system. Attached Figure Description

[0024] Figure 1 This is a schematic diagram of the method flow of the present invention;

[0025] Figure 2 This is a schematic diagram of the arrangement of the battery box in the mining truck according to the present invention.

[0026] The components include: 1. Mining bucket; 2. Rear battery frame; 3. Battery box; 4. Cab; 5. Vehicle frame; 6. Side-mounted battery frame; and 7. Accelerometer sensor. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0028] Example of a method for monitoring the performance of a vehicle battery pack:

[0029] In this embodiment, the vehicle is a pure electric mining truck (hereinafter referred to as the vehicle). To avoid the problem that the real-time performance of the vehicle battery box monitoring is not high when using previously collected data, and that the method of monitoring the vehicle battery box performance cannot provide real-time feedback on the structural status of the battery box, resulting in inaccurate monitoring results, this embodiment collects the impact acceleration signal of the vehicle in real time, calculates the number of impact loads that the vehicle battery box will be subjected to throughout its entire life cycle based on this signal, and then compares this number with the maximum number of impacts that the battery box can withstand to obtain the vehicle battery box performance monitoring result.

[0030] Specific examples Figure 1 As shown, the method flow of this embodiment includes:

[0031] 1) Obtain real-time information on vehicle battery boxes and mining truck operation data in the mining area;

[0032] In this embodiment, the real-time information of the vehicle battery box mainly includes the impact acceleration information of the vehicle battery box. In this embodiment, this information is collected from different locations of the vehicle battery box. The mining truck operation data mainly includes the number of trips per day per vehicle in the mining area Nt, the number of loading times during a single trip N1, the number of operating days per year D, the warranty mileage Sz, the warranty period Yz, the total daily mileage M, and the service life Y.

[0033] In this embodiment, the wireless accelerometer and the host are mainly responsible for collecting the impact acceleration signals generated by the vehicle during loading. By collecting the impact signals at the battery installation point, the number of times and the maximum impact acceleration value of impact acceleration of not less than 10g in each direction on a single day are counted (in other implementations, only data in a certain direction can be counted, and the performance of the battery box can be monitored based on the data in this direction). The number of times in the Z direction is recorded as N(Z), and the maximum impact acceleration is recorded as a(Z)max; the number of times in the Y direction is recorded as N(Y), and the maximum impact acceleration is recorded as a(Y)max; the number of times in the X direction is recorded as N(X), and the maximum impact acceleration is recorded as a(X)max.

[0034] 2) Based on the real-time information of the vehicle and the mining truck operation data in the mining area, obtain the number of impact loads that the vehicle battery box has been subjected to during its service life. Based on the mining truck operation data in the mining area and the safe service life of the vehicle, obtain the number of impact loads that the vehicle battery box has been subjected to during its service life that are greater than the set value.

[0035] In this embodiment, the method for obtaining the number of impact loads experienced by the vehicle battery box during its service life is as follows: based on the principle of mileage and years to be reached first, the number of impact loads experienced by the battery box during its entire life cycle is calculated.

[0036] One implementation method involves determining which expires first, the warranty mileage or the warranty period: the service life is calculated using the warranty mileage, and then compared to the warranty period. If the service life is shorter, the warranty mileage expires first; otherwise, the warranty period expires first. Specifically, the service life Y is calculated as: Y = Sz ÷ M × D, which is the ratio of the warranty mileage to the total daily mileage, multiplied by the total number of operating days in a year to obtain the specific service life.

[0037] As another implementation method, the method for determining which expires first, warranty mileage or warranty period, is as follows: The usage mileage is calculated based on the warranty period. The usage mileage is then compared to the warranty mileage. If the usage mileage is shorter, the warranty period expires first; if the warranty mileage is shorter, the warranty period expires first. Specifically, the usage mileage S is calculated as: S = Yz × M × D, which is the product of the warranty period and the total daily mileage, multiplied by the number of days the vehicle operates in a year.

[0038] Based on the comparison between the service life and the warranty period, when the warranty mileage is reached first, the formula for calculating the number of impacts ST that the battery experiences during the entire service life is: ST = Y × D × Nt × Nl or ST = Sz ÷ M × Nt × Nl; when the warranty period is reached first, the formula for calculating the number of impacts ST that the battery experiences during the entire service life is: ST = Yz × D × Nt × Nl.

[0039] Based on the statistics of the number of times a single vehicle battery is subjected to an impact acceleration of not less than 10g per day, the number of times the battery box is subjected to an impact load of not less than 10g throughout its entire life cycle is as follows: ① When Y < Yz or S > Sz (i.e., when the warranty mileage is reached first), ST(Z) = Y × D × N(Z), ST(Y) = Y × D × N(Y), ST(X) = Y × D × N(X) (or ST(Z) = Sz ÷ M × N(Z), ST(Y) = Sz ÷ M × N(Y), ST(X) = Sz ÷ M × N(X)); ② When Y > Yz or S < Sz (i.e., when the warranty period is reached first), ST(Z) = Yz × D × N(Z), ST(Y) = Yz × D × N(Y), ST(X) = Yz × D × N(X).

[0040] 3) Based on the number of impact loads exceeding the set value and the maximum impact load acceleration value experienced by the vehicle battery box during its service life, the real-time monitoring results of the vehicle battery box performance are obtained from the structural boundary of the battery box.

[0041] In this implementation, the performance monitoring results of the battery box are obtained based on the data from step 2) and combined with the structural boundaries of the battery impact load of the battery box itself: Z direction: a(Z)max≤a(Z)b, ST(Z)≤ST(Z)b; Y direction: a(Y)max≤a(Y)b, ST(Y)≤ST(Y)b; X direction: a(X)max≤a(X)b, ST(X)≤ST(X)b. Where a(Z)b, a(Y)b, and a(X)b are the maximum impact acceleration values ​​that the battery box can withstand in the Z, Y, and X directions, respectively, and ST(Z)b, ST(Y)b, and ST(X)b are the maximum number of impacts that the battery box can withstand in the Z, Y, and X directions, respectively. The design parameters of the battery box such as a(Z)b and ST(Z)b in this embodiment (i.e., the structural boundary of the battery impact load of the battery box itself) are related to factors such as the materials, structure, and processing technology used in the battery box. During the battery box design process, the corresponding values ​​or ranges can be obtained by adjusting the relevant influencing factors and simulating the process. That is, a(Z)b and ST(Z)b in this embodiment are determined after the battery box is processed and assembled. Based on the impact of impact loads in three directions on the battery box structure, the Z-direction is generally used as the main data basis for evaluation. When a(Z)max≤a(Z)b and ST(Z)≤ST(Z)b, the impact load does not exceed the boundary of the battery box structure, and the collected data is stored normally on the platform. When a(Z)max>a(Z)b or ST(Z)>ST(Z)b, the impact load exceeds the boundary of the battery box structure, and there is a risk of structural failure. At this time, the platform will push a warning message to remind the after-sales site to remind and intervene in the loading operation of the mining truck. By reducing the loading height and other measures, the impact load is reduced, the structural reliability of the battery box is improved, and the service life is extended.

[0042] The method in this embodiment acquires the vibration acceleration time-domain signal during the loading operation in real time and compares it with the structural boundaries of the battery box design. This allows for intervention and control of impact loads exceeding the boundaries, improving the structural reliability of the battery box. It can be applied to online monitoring and early warning of impact loads on the battery end during the loading operation of mining trucks, enabling timely intervention and control of impact loads exceeding the battery structural boundaries, thus improving the structural reliability of the battery box.

[0043] Example of a vehicle battery pack performance monitoring system:

[0044] The system in this embodiment can implement a method for monitoring the performance of a vehicle battery pack. This method has already been described in detail in previous embodiments and will not be repeated here. Figure 1 As shown in the flowchart, this vehicle battery box performance monitoring system includes an acceleration sensor for monitoring the impact on the battery box and a control system. The control system executes instructions to realize the process of vehicle battery box performance monitoring.

[0045] Vehicle Example:

[0046] In this embodiment, the vehicle is a pure electric mining truck, such as... Figure 2 The diagram shows the structure and battery arrangement of a mining truck. The truck mainly includes a mining bucket 1, a cab 4, a main beam 5, a rear battery frame 2 and batteries, a side-mounted battery frame 6 and batteries, and wireless acceleration sensors 7 located at the rear battery box 3, the side-mounted battery boxes, and various points on the main beam. The acceleration sensors 7 are used to collect impact loads during loading. In this embodiment, the vehicle also includes a vehicle battery box performance monitoring system. This system collects the time-domain signal of vibration acceleration during loading operations and compares it with the structural boundaries of the battery box design. This allows for intervention and control of impact loads exceeding the boundaries, improving the structural reliability of the battery box. This is the process of implementing the vehicle battery box performance monitoring method. The specific process of the vehicle battery box performance monitoring method has been described in detail in the embodiment of the vehicle battery box performance monitoring method and will not be repeated here.

[0047] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. The scope of patent protection of the present invention shall be determined by the claims. Similarly, any equivalent structural changes made based on the description and drawings of the present invention shall also be included within the scope of protection of the present invention.

Claims

1. A method of monitoring the performance of a vehicle battery box, characterized by, The method comprises the following steps: 1) obtaining impact information data of a vehicle battery box in real time during a vehicle loading operation; 2) calculating the number ST(W) of times that the impact information data is not less than a set value during the service life of the vehicle, comparing the number with the maximum number of times that the impact information data is not less than the set value during the service life of the vehicle, wherein the service life is the earlier of the warranty period and the warranty mileage of the vehicle; if the warranty period is reached first, the number ST(W) is the product of the warranty period and the number N(W) of times that the impact information data is not less than the set value during the vehicle loading operation; if the warranty mileage is reached first, the number ST(W) is the product of the quotient of the warranty period and the total mileage of the vehicle per day and the number N(W); 3) if the number of times that the impact information data is greater than the set value during the service life of the vehicle is greater than the maximum number, the battery box performance monitoring result is that there is a risk of structural failure.

2. The vehicle battery box performance monitoring method according to claim 1, characterized by, In step 2), the maximum value in the impact information data is obtained according to the impact information data during the vehicle loading operation, and in step 3), if the maximum value is greater than the maximum impact value allowed by the battery box, the battery box performance monitoring result is that there is a risk of structural failure.

3. The vehicle battery box performance monitoring method of claim 1, wherein The method for determining which of the warranty period and the warranty mileage of the vehicle is reached first is as follows: the service life within the warranty mileage of the vehicle is obtained according to the warranty mileage of the vehicle and the actual mileage of the vehicle per day, and if the service life is less than the warranty period, the warranty mileage is reached first; if the service life is greater than the warranty period, the warranty period is reached first.

4. The vehicle battery box performance monitoring method of claim 1, wherein The method for determining which of the warranty period and the warranty mileage of the vehicle is reached first is as follows: the service mileage within the warranty period of the vehicle is obtained according to the warranty period of the vehicle and the actual mileage of the vehicle per day, and if the service mileage is less than the warranty mileage, the warranty period is reached first; if the service mileage is greater than the warranty mileage, the warranty mileage is reached first.

5. The vehicle battery box performance monitoring method of claim 1, wherein In step 3), if the battery box performance monitoring result is that there is a risk of structural failure, a warning signal is sent.

6. A vehicle battery case performance monitoring system comprising an acceleration sensor for monitoring an impact signal received by a battery case, and a control device, characterized by, The control device comprises a memory and a processor, and the processor is used to execute instructions to realize the vehicle battery box performance monitoring method according to any one of claims 1-5.

7. A vehicle comprising a vehicle body, characterized by The vehicle battery box performance monitoring system according to claim 6 is also provided.

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